ENCODING DEVICE, DECODING DEVICE, ENCODING METHOD, AND DECODING METHOD

Title:

ENCODING DEVICE, DECODING DEVICE, ENCODING METHOD, AND DECODING METHOD

Document Type and Number:

WIPO Patent Application WO/2019/093234

Kind Code:

A1

Abstract:

An encoding device (100) is provided with a memory (162) and a circuit (160). The circuit (160) uses a first convolution neural network model to execute, on an input image, conversion of an image space region into an encoded space region to execute a compression process on the input image, and uses a second convolutional neural network model to execute a process of extracting feature amounts used for a post-process of making a decompressed image closer to the input image, the decompressed image being obtained as a result of compression and decompression of the input image.

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Inventors:

HODGKINSON ALEC
RIGAZIO LUCA
TOMA TADAMASA (JP)
NISHI TAKAHIRO
ABE KIYOFUMI
KANOH RYUICHI

Application Number:

PCT/JP2018/040801

Publication Date:

May 16, 2019

Filing Date:

November 02, 2018

Export Citation:

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Assignee:

PANASONIC IP CORP AMERICA (US)

International Classes:

H04N19/90; H04N19/86

Domestic Patent References:

WO2016156864A1	2016-10-06
WO2017178827A1	2017-10-19

Other References:

JOHNSTON, NICK ET AL.: "Improved Lossy Image Compression with Priming and Spatially Adaptive BitRates for Recurrent Networks", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 18 June 2018 (2018-06-18), XP033476412
TAI, YING ET AL.: "Image Super-Resolution via Deep Recursive Residual Network", CVPR 2017, 26 July 2017 (2017-07-26), XP033249624
THEIS, LUCAS ET AL.: "LOSSY IMAGE COMPRESSION WITH COMPRESSIVE AUTOENCODERS", 1 March 2017 (2017-03-01), XP080753545